Paper
8 December 2015 A region finding method to remove the noise from the images of the human hand gesture recognition system
Author Affiliations +
Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750H (2015) https://doi.org/10.1117/12.2228517
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain
Abstract
The performance of the human hand gesture recognition systems depends on the quality of the images presented to the system. Since these systems work in real time environment the images may be corrupted by some environmental noise. By removing the noise the performance of the system can be enhanced. So far different noise removal methods have been presented in many researches to eliminate the noise but all have its own limitations. We have presented a region finding method to deal with the environmental noise that gives better results and enhances the performance of the human hand gesture recognition systems so that the recognition rate of the system can be improved.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Muhammad Jibran Khan and Waqas Mahmood "A region finding method to remove the noise from the images of the human hand gesture recognition system", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750H (8 December 2015); https://doi.org/10.1117/12.2228517
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KEYWORDS
Signal to noise ratio

Gesture recognition

Image filtering

Skin

Raster graphics

RGB color model

Interference (communication)

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